[R] cv.lars() function in LARS package

[Niels Richard Hansen]

Minxolee

Cross validation is based on random splits of the data, hence
it can not be expected that the results are exactly identical.

If you want to do lasso, the glmnet package by the same authors
is a better choice.

- Niels

On 07/04/11 16.08, minxolee wrote:
>
> I am trying to get familiar with the lars package and find out by repeating
> the cv.lars() function, I am not getting the same result consistently. Could
> someone help on that? Here is a simple reproducible example.
>
>> library(lars)
>> data(diabetes)
>> attach(diabetes)
>> cv.lars(x,y,K=2)
>> cv.lars(x,y,K=2)
>
> The last two runs of cv.lars give out different cross-validation plots.
>
> Thanks,
> minxolee
>
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-- 
Niels Richard Hansen                     Web:   www.math.ku.dk/~richard	
Associate Professor                      Email: Niels.R.Hansen at math.ku.dk
Department of Mathematical Sciences             nielsrichardhansen at gmail.com
University of Copenhagen                 Skype: nielsrichardhansen.dk	
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Denmark